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Connect to live data from BambooHR with the API Driver

Connect to BambooHR

Connect to BambooHR Data in HULFT Integrate



Connect to BambooHR as a JDBC data source in HULFT Integrate

HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData API Driver for JDBC, HULFT Integrate can work with live BambooHR data. This article walks through connecting to BambooHR and moving the data into a CSV file.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live BambooHR data. When you issue complex SQL queries to BambooHR, the driver pushes supported SQL operations, like filters and aggregations, directly to BambooHR and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze BambooHR data using native data types.

Enable Access to BambooHR

To enable access to BambooHR data from HULFT Integrate projects:

  1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.api.jar (and cdata.jdbc.api.lic), to the jdbc_adapter subfolder for the Integrate Server
  2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to BambooHR Data

Once you copy the JAR files, you can create a project with access to BambooHR data. Start by opening Integrate Studio and creating a new project.

  1. Name the project
  2. Ensure the "Create script" checkbox is checked
  3. Click Next
  4. Name the script (e.g.: APItoCSV)

Once you create the project, add components to the script to copy BambooHR data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

  1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for BambooHR. Set the following properties:
    • Name: BambooHR Connection Settings
    • Driver class name: cdata.jdbc.api.APIDriver
    • URL: jdbc:api:Profile=C:\profiles\BambooHR.apip;ProfileSettings='Domain=acmeinc;APIKey=your_api_key';

      Built-in Connection String Designer

      For assistance constructing the JDBC URL, use the connection string designer built into the BambooHR JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.

      java -jar cdata.jdbc.api.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      Start by setting the Profile connection property to the location of the BambooHR Profile on disk (e.g. C:\profiles\bamboohr.apip). Next, set the ProfileSettings connection property to the connection string for BambooHR (see below).

      BambooHR API Profile Settings

      In order to authenticate to BambooHR, you'll need to provide your API Key. To generate an API key, log in and click your name in the upper right-hand corner of any page to get to the user context menu. If you have sufficient permissions, there will be an "API Keys" option in that menu to go to the page, where you can create a new API Key. Additionally, you will need to set the Domain, found in the domain name of your BambooHR account. For example if your BambooHR account is acmeinc.bamboohr.com, then the Domain should be 'acmeinc'. Set both the API Key and Domain in the ProfileSettings property to connect.

  2. Write your SQL statement. For example:
    SELECT Id, DisplayName FROM Employees
  3. Click "Extraction test" to ensure the connection and query are configured properly
  4. Click "Execute SQL statement and set output schema"
  5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

  1. Set a file to write the query results to (e.g. Employees.csv)
  2. Set "Input data" to the "Select SQL" component
  3. Add columns for each field selected in the SQL query
  4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
  5. Click "Finish"

Map BambooHR Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move BambooHR data into a CSV file.

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live BambooHR data in HULFT Integrate. Reach out to our Support Team if you have any questions.